The loss of motor skills is common in stroke survivors, as the body is often impaired on one side, leaving it difficult to walk or grip items. While traditional therapy methods still yield positive results, recent research has shown that the optimal way to treat patients is through a collaborative effort of robots and human therapists; the robots focus on reducing physical impairments, the therapists assist on translating the gains in impairment into function.

Commercialized robotic therapy solutions, enabled by machine-learning technology, have exceptional capacity for measurement and immediate interactive response. Human therapists can only guide a patient through a handful of movements during a session and track only significant movement as progress. A therapy robot can guide a patient through hundreds of movements during a session and sense even the slightest response – adjusting to the patient’s continually changing physical ability.

A robotic therapy system can guide the exercise treatment more precisely than a human therapist could, due to the amount of data it can process, making it smarter as it learns the patient’s capabilities. If a patient is unable to move, robotic therapy gently assists them to initiate movement toward the target. If coordination is the issue, robots can guide physical movement to ensure the patient is practicing the exact movement in the correct way. As the patient gains strength and ability, robots provide less assistance to provide greater challenge.

In this circle evaluation test, shown are sample plots for a stroke patient at admission and discharge following robotic therapy which measures range of motor coordination, joint independence, and coordinated movement planning.

Robotic therapy intervention can provide quantifiable feedback on progress and performance in a way that a therapist cannot. With AI and robotics, data-capture and sensor abilities allow a therapist to show incremental improvements a patient is making, minute-by-minute, day-by-day.

This technology is not limited to stroke survivors. Patients who have suffered spinal injuries resulting in paralysis or other afflictions detrimental to mobility can benefit from robotics and AI. These technologies use transmission systems in combination with sensors in the feet, angle sensors in the joints, and inertial measurement units to feel how body weight is distributed. Combined with upper body information and movements, immobile patients can take a step on their own. The smart sensors are able to predict a movement before it’s made, allowing the user to follow through with that action.

This is not to say that the human element of therapy is archaic or obsolete. There is still an important factor of the human connection between a patient and a therapist. It is important, however, to augment the human element with the innovation of robotics to provide the care available.